LemonLENS: A Real-World Dataset for Multi-Class Lemon Leaf Disease Classification

This dataset contains high-resolution images of lemon (Citrus limon) leaves collected from Baburhat, Chandpur, Bangladesh. The purpose of this dataset is to support machine learning and deep learning-based classification and detection of various lemon leaf diseases. The dataset is organized into six distinct classes based on visual symptoms. All images were manually collected using a mobile camera and later resized for efficient processing. This dataset can be used for training, testing, and validating image classification models.

Classes and Number of Images:
1. Algal Leaf Spot: 528 images
2. Black Spot: 583 images
3. Citrus Canker: 578 images
4. Citrus Pest: 544 images
5. Greening: 528 images
6. Healthy Leaf: 505 images
Total Images: 3,266

Image Details:
Original Resolution: 3024 x 4032 pixels
Compressed Resolution: 560 x 420 pixels
Image Format: JPEG
Color Mode: RGB
Collection Device: Smartphone camera
Location: Baburhat, Chandpur, Bangladesh